Goodell, Jim (Ed.) <br/><br/>
Learning engineering toolkit: evidence-based practices from the learning sciences, instructional design, and beyond 

 - New York:  Routledge,  2023. 
 - xiv, 421p.:  col. ill.; pbk.:  23cm. 
<br/><br/> The Learning Engineering Toolkit is a practical guide to the rich and varied applications of learning engineering, a rigorous and fast-emerging discipline that synthesizes the learning sciences, instructional design, engineering design, and other methodologies to support learners. As learning engineering becomes an increasingly formalized discipline and practice, new insights and tools are needed to help education, training, design, and data analytics professionals iteratively develop, test, and improve complex systems for engaging and effective learning. Written in a colloquial style and full of collaborative, actionable strategies, this book explores the essential foundations, approaches, and real-world challenges inherent to ensuring participatory, data-driven, learning experiences across populations and contexts.<br/><br/>https://www.routledge.com/Learning-Engineering-Toolkit-Evidence-Based-Practices-from-the-Learning/Goodell-Kolodner/p/book/9781032232829 
<br/><br/><label>ISBN: </label>9781032232829 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Learning Engineering<br/>Instructional Design<br/>Engineering Design<br/>Education<br/>Data Analytics
<br/><br/><label>Dewey Class. No.: </label>371.33 GOO